| 2025 | CVPR | Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning. | Lei-Lei Ma, Shuo Xu, Ming-Kun Xie, Lei Wang, Dengdi Sun, Haifeng Zhao |
| 2025 | ICML | Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL. | Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang |
| 2025 | IJCAI | Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. | Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng |
| 2024 | AAAI | Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. | Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen |
| 2024 | AAAI | Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. | Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang |
| 2024 | ECCV | Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning. | Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang |
| 2024 | ICML | Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. | Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang |
| 2024 | KDD | Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning. | Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang |
| 2023 | ICCV | Multi-Label Knowledge Distillation. | Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang |
| 2021 | KDD | Partial Multi-Label Learning with Meta Disambiguation. | Ming-Kun Xie, Feng Sun, Sheng-Jun Huang |
| 2020 | AAAI | Partial Multi-Label Learning with Noisy Label Identification. | Ming-Kun Xie, Sheng-Jun Huang |
| 2020 | ICDM | Semi-Supervised Partial Multi-Label Learning. | Ming-Kun Xie, Sheng-Jun Huang |
| 2019 | KDD | Learning Class-Conditional GANs with Active Sampling. | Ming-Kun Xie, Sheng-Jun Huang |
| 2018 | AAAI | Partial Multi-Label Learning. | Ming-Kun Xie, Sheng-Jun Huang |
| 2018 | KDD | Active Feature Acquisition with Supervised Matrix Completion. | Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen |